The Need for Measurements

Transmission Line Fault Detection Using ANNByPrakash Kumar Satapathy Roll No: EE 200117064

Under the guidance of Mr. Debashisha Jena

National Institute of Science & TechnologyTechnical Seminar Presentation-2004Presented By:Prakash Kumar Satapathy [EE200117064][2]IntroductionWhat is ANN? An artificial neural network(ANN) is an information processing paradigm that is inspired by the way biological nervous system such as brain process information

Artificial Neural network are powerful in pattern recognition and classification

National Institute of Science & TechnologyTechnical Seminar Presentation-2004Presented By:Prakash Kumar Satapathy [EE200117064][3]Salient Feature Of ANN The ANN has excellent Feature such as Generalization capability Noise immunity Robust ness Fault toleranceNational Institute of Science & TechnologyTechnical Seminar Presentation-2004Presented By:Prakash Kumar Satapathy [EE200117064][4]Fault Type Classifiers Increase of current magnitude or decrease of voltage/impedance magnitude could be considered as a measure to detect fault The fault detection algorithm are designed based on the current or voltage magnitude Algorithm The algorithm depends upon the fault resistance power system short circuit capacityNational Institute of Science & TechnologyTechnical Seminar Presentation-2004Presented By:Prakash Kumar Satapathy [EE200117064][5]Power Network SimulationA 230Kv Power system is simulated by using EMTDC electromagnetic transient program

National Institute of Science & TechnologyTechnical Seminar Presentation-2004Presented By:Prakash Kumar Satapathy [EE200117064][6]The proposed Neural NetworkNetwork InputPattern Generation and pre processing Net work structure and Training Proposed ANN structureNetwork Input- The variation of current signal before and after fault incident is used for the fault detection by ANN The current wave form is sampled at 20 sample per cycle The Resultant of 3 superimposed signal are first 3 input to the ANN

National Institute of Science & TechnologyTechnical Seminar Presentation-2004Presented By:Prakash Kumar Satapathy [EE200117064][7]Pattern Generation and PreprocessingPreprocessing significantly reduce the size of ANN and improve the performance and speed of training process The Three phase current input signals were processed by 2nd order low pass filter

National Institute of Science & TechnologyTechnical Seminar Presentation-2004Presented By:Prakash Kumar Satapathy [EE200117064][8]The proposed neural networkThe training data set is used to train the ANN based selector Module The Network has5 normalized input and 4 o/p

National Institute of Science & TechnologyTechnical Seminar Presentation-2004Presented By:Prakash Kumar Satapathy [EE200117064][9] Network EvaluationThe proposed Network output for a double phase AB fault ( o/p for fault at 83 km)

National Institute of Science & TechnologyTechnical Seminar Presentation-2004Presented By:Prakash Kumar Satapathy [EE200117064][10]Conclusion In this paper a new approach for fault detection in transmission line is presented and its effective ness is demonstrated

National Institute of Science & TechnologyTechnical Seminar Presentation-2004Presented By:Prakash Kumar Satapathy [EE200117064][11]Thank You!National Institute of Science & TechnologyTechnical Seminar Presentation-2004Presented By:Prakash Kumar Satapathy [EE200117064]